LAPSE:2024.0038
Published Article
LAPSE:2024.0038
Process Simulation and Integration of Natural Gas Condensate Recovery Using Ethane−Propane Refrigerant Mixture
Jin Sun, Rujin Zhou, Li Wang, Xinye Zeng, Shaolin Hu, Haoshui Yu, Liangliang Jiang
January 5, 2024
Separating heavy components from natural gas not only enhances safety, improves pipeline transportation, ensures product quality, and addresses environmental considerations, but it also exerts an influence on global energy trends. Therefore, separating heavy components is necessary and can result in beneficial goods. This article presents a comprehensive study on the process simulation and optimization of the recovery of natural gas condensate via the combined refrigeration of a mixture of ethane and propane as a refrigerant. The optimization objectives include maximizing the recovery of ethane and propane, minimizing energy consumption, and achieving desired product quality targets. A sensitivity analysis was performed to assess the impact of key parameters on process performance. Using Aspen HYSYS software, the influence of the cooler outlet stream temperature and expander outlet stream pressure on the shaft power and profit of a dry gas compressor was analyzed based on the operating conditions of the case plant, which has a processing capacity of 2988 kmol/h. The profitability of the plant is at a maximum when the cooler’s outlet stream temperature is −61 °C and the expander’s outlet stream pressure is 2500 kPa. After optimization, the refrigeration cycle system can reduce the plant’s energy consumption by 1516.4 kW. An optimized process design can lead to enhanced recovery efficiency, reduced energy consumption, and improved profitability in the natural gas industry.
Keywords
Aspen HYSYS, combined refrigeration, Optimization, process simulation
Suggested Citation
Sun J, Zhou R, Wang L, Zeng X, Hu S, Yu H, Jiang L. Process Simulation and Integration of Natural Gas Condensate Recovery Using Ethane−Propane Refrigerant Mixture. (2024). LAPSE:2024.0038
Author Affiliations
Sun J: School of Chemical Engineering, Guangdong University of Petrochemical Technology, Maoming 525000, China
Zhou R: School of Chemical Engineering, Guangdong University of Petrochemical Technology, Maoming 525000, China
Wang L: School of Chemical Engineering, Guangdong University of Petrochemical Technology, Maoming 525000, China [ORCID]
Zeng X: School of Chemical Engineering, Guangdong University of Petrochemical Technology, Maoming 525000, China
Hu S: School of Automation, Guangdong University of Petrochemical Technology, Maoming 525000, China
Yu H: Department of Chemistry and Bioscience, Aalborg University, 6700 Esbjerg, Denmark
Jiang L: Chemical and Petroleum Department, University of Calgary, Calgary Alberta, AB T2N 1N4, Canada [ORCID]
Journal Name
Processes
Volume
11
Issue
8
First Page
2495
Year
2023
Publication Date
2023-08-19
Published Version
ISSN
2227-9717
Version Comments
Original Submission
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PII: pr11082495, Publication Type: Journal Article
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LAPSE:2024.0038
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doi:10.3390/pr11082495
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Jan 5, 2024
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CC BY 4.0
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[v1] (Original Submission)
Jan 5, 2024
 
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Jan 5, 2024
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Original Submitter
Calvin Tsay
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